Description

You will design and implement scalable data solutions for Marketing, Sales, and Customer Service domains.

Design and optimize data pipelines integrating 1st party, 3rd party, and operational data sources using DBT, Snowflake, and Azure. Develop data models that enable personalized customer experiences and omnichannel engagement. Implement and maintain Snowflake data warehousing solutions for large-scale processing. Manage data governance, quality, and security in compliance with GDPR and CCPA regulations.

Responsibilities

• Architect data solutions for business intelligence and advanced analytics.
• Build and maintain ETL/ELT processes and data models.
• Ensure data quality, governance, and security compliance.
• Design architectures for Customer 360, CDP, or MDM.
• Optimize data pipelines for large-scale processing.

Required Skills

• 7+ years of experience in Data Architecture or Data Engineering.
• Expertise with Snowflake and DBT for data warehousing and transformation.
• Hands-on experience with Python for data engineering and scripting.
• Proficiency with Azure cloud infrastructure and data storage.
• Strong foundation in Big Data technologies and modern data architecture frameworks.
• Deep understanding of ETL/ELT processes and data modeling.
• Bachelor's degree in Computer Science, Data Engineering, or a related field.

Preferred Skills

• Master's degree in a technical field.
• Experience working with AI/ML models for customer analytics and personalization.

Key Skills

Education

Any Graduate